Discrete features for rapid pedestrian detection in infrared images

Author

Olmeda, Daniel ; Armingol, Jose Maria ; De la Escalera, Arturo

Author_Institution

Dept. of Syst. Eng., Univ. Carlos III de Madrid, Leganes, Spain

fYear

2012

fDate

7-12 Oct. 2012

Firstpage

3067

Lastpage

3072

Abstract

In this paper the authors propose a pedestrian detection system based on discrete features in infrared images. Unique keypoints are searched for in the images around which a descriptor, based on the histogram of the phase congruency orientation, is extracted. These descriptors are matched with defined regions of the body of a pedestrian. In case of a match, it creates a region of interest in the image, which is classified as a pedestrian / non-pedestrian by an SVM classifier. The pedestrian detection system has been tested in an advanced driver assistance system for urban driving.

Keywords

driver information systems; feature extraction; image classification; image matching; infrared imaging; object detection; support vector machines; SVM classifier; advanced driver assistance system; descriptor matching; discrete features; image classification; infrared images; pedestrian body region; pedestrian detection system; phase congruency orientation histogram extraction; rapid pedestrian detection; unique keypoint searching; urban driving; Databases; Feature extraction; Histograms; Support vector machines; Temperature sensors; Training; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on

Conference_Location

Vilamoura

ISSN

2153-0858

Print_ISBN

978-1-4673-1737-5

Type

conf

DOI

10.1109/IROS.2012.6385928

Filename

6385928